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‘Repairing’ the Machine: A Case Study of the Evaluation of Computer-Aided Detection Tools in Breast Screening

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2003

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ECSCW 2003: Proceedings of the Eighth European Conference on Computer Supported Cooperative Work
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Kluwer Academic Publishers, Dordrecht, The Netherlands

Abstract

In this paper, we consider the problems of introducing computer-based tools into collaborative processes, arguing that such an introduction must attend to the sociality of work if it is not to impact negatively upon the work that they are intended to support. To ground our arguments, we present findings from an ethnomethologicallyinformed ethnographic study carried out in the context of the clinical trial of a computerbased aid in medical work. Our findings highlight the problematic nature of traditional clinical trials for evaluating healthcare technologies, precisely because such trials fail to grasp the situated, social and collaborative dimensions of medical work.

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Hartswood, Mark; Procter, Rob; Slack, Roger; Soutter, James; Voss, Alex; Rouncefield, Mark (2003): ‘Repairing’ the Machine: A Case Study of the Evaluation of Computer-Aided Detection Tools in Breast Screening. ECSCW 2003: Proceedings of the Eighth European Conference on Computer Supported Cooperative Work. DOI: 10.1007/978-94-010-0068-0_20. Kluwer Academic Publishers, Dordrecht, The Netherlands. ISBN: 978-94-010-0068-0. pp. 375-394. Full Papers. Helsinki, Finland. 14–18 September 2003

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10.1007/978-94-010-0068-0_20

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ECSCW 2003: Proceedings of the Eighth European Conference on Computer Supported Cooperative Work

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Number of citations to item: 29

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  • V. Gervasi, R. Gacitua, M. Rouncefield, P. Sawyer, L. Kof, L. Ma, P. Piwek, A. de Roeck, A. Willis, H. Yang, B. Nuseibeh (2013): Unpacking Tacit Knowledge for Requirements Engineering, In: Managing Requirements Knowledge, doi:10.1007/978-3-642-34419-0_2
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  • E Alberdi, A A Povyakalo, L Strigini, P Ayton, M Hartswood, R Procter, R Slack (2005): Use of computer-aided detection (CAD) tools in screening mammography: a multidisciplinary investigation, In: The British Journal of Radiology suppl_1(78), doi:10.1259/bjr/37646417
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  • Kenton O’Hara, Cecily Morrison, Abigail Sellen, Nadia Bianchi-Berthouze, Cathy Craig (2016): Body Tracking in Healthcare, In: Synthesis Lectures on Assistive, Rehabilitative, and Health-Preserving Technologies, doi:10.2200/s00702ed1v01y201602arh009
  • Corsin Decurtins, Moira C. Norrie, Beat Signer (2003): Putting the gloss on paper: A framework for cross-media annotation, In: New Review of Hypermedia and Multimedia 1(9), doi:10.1080/13614560410001725301
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  • Stephanie Wilson, Julia Galliers, James Fone (2007): Cognitive Artifacts in Support of Medical Shift Handover: An In Use, In Situ Evaluation, In: International Journal of Human-Computer Interaction 1-2(22), doi:10.1207/s15327590ijhc2201-02_4
  • Stuart Anderson, Massimo Felici (2012): Hardening Social Links, In: Emerging Technological Risk, doi:10.1007/978-1-4471-2143-5_5
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  • Eugenio Alberdi, Andrey A. Povyakalo, Lorenzo Strigini, Peter Ayton, Rosalind Given-Wilson (2008): CAD in mammography: lesion-level versus case-level analysis of the effects of prompts on human decisions, In: International Journal of Computer Assisted Radiology and Surgery 1-2(3), doi:10.1007/s11548-008-0213-x
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  • Helena Tendedez, Maria Angela Ferrario, Roisin McNaney (2019): 'The Issue with that sort of Data?', In: Companion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing, doi:10.1145/3311957.3359464
  • Marco P. Locatelli, Carla Simone, Viviana Ardesia (2010): Collocated Social Practices Surrounding Photo Usage in Archaeology, In: Proceedings of COOP 2010, doi:10.1007/978-1-84996-211-7_10
  • Jesper Molin, Paweł W. Woźniak, Claes Lundström, Darren Treanor, Morten Fjeld (2016): Understanding Design for Automated Image Analysis in Digital Pathology, In: Proceedings of the 9th Nordic Conference on Human-Computer Interaction, doi:10.1145/2971485.2971561
  • Giulia Anichini (2023): Automatiser le choix du « meilleur » traitement : enjeux et défis d’un outil algorithmique pour le pronostic de la sclérose en plaques, In: Cahiers François Viète, doi:10.4000/cahierscfv.4239
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